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JMLR
2010
123views more  JMLR 2010»
14 years 11 months ago
Inductive Principles for Restricted Boltzmann Machine Learning
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
Benjamin Marlin, Kevin Swersky, Bo Chen, Nando de ...
JMLR
2010
211views more  JMLR 2010»
14 years 11 months ago
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering
In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoreti...
Bo Dai, Baogang Hu
ML
2010
ACM
147views Machine Learning» more  ML 2010»
14 years 11 months ago
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning
This paper proposes a new measure for ensemble pruning via directed hill climbing, dubbed Uncertainty Weighted Accuracy (UWA), which takes into account the uncertainty of the decis...
Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. ...
ECIR
2011
Springer
14 years 8 months ago
A Novel Re-ranking Approach Inspired by Quantum Measurement
Abstract. Quantum theory (QT) has recently been employed to advance the theory of information retrieval (IR). A typical method, namely the Quantum Probability Ranking Principle (QP...
Xiaozhao Zhao, Peng Zhang, Dawei Song, Yuexian Hou
CIDM
2009
IEEE
15 years 11 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
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